A molecular-field study on the magnetocaloric effect in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="italic">Er</mml:mi></mml:mrow><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mrow><mml:mi mathvariant="italic">Fe</mml:mi></mml:mrow><mml:mn>17</mml:mn></mml:msub></mml:mrow></mml:math>

Khedr, D. M.; Aly, Samy H.; Shabara, Reham M.; Yehia, Sherif

doi:10.1016/j.jmmm.2018.11.079

Cited by 8 publications

(4 citation statements)

References 16 publications

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“…For such materials there will be many possible interesting magnetic applications such as magneto-caloric effect as it is also suggested by Khedr, D. M., et. al., [26] and Nagy, Ahmed, et. al., [27].…”

Section: Particle Shapementioning

confidence: 99%

Thermomagnetic Properties of Metal and Metal-oxide Nanoparticles

Jaiswal¹,

Pandey²

2021

Adv. Mater. Lett.

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Section: Particle Shapementioning

confidence: 99%

Thermomagnetic Properties of Metal and Metal-oxide Nanoparticles

Jaiswal¹,

Pandey²

2021

Adv. Mater. Lett.

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“…( 12),( 13) and ( 14), corresponding to Phase 1 and Phase 2, respectively, which locally minimize Ω, see Eq. (19). Here M = (m f , m a ) is a formal symbol for multicomponent order parameter.…”

Section: Model and Approximationsmentioning

confidence: 99%

“…2. An algorithm for calculations is the following: for a fixed temperature and chemical potential the algorithm minimizes grand potential (19) with respect to order parameters, which determine the phase of the system; if the next step in chemical potential has as its minimum a distinct phase from the previous step, then the algorithm launches a procedure of localization µ = µ c corresponding to the phase change and thereby PS.…”

Section: Model and Approximationsmentioning

confidence: 99%

Emerging mechanisms of magnetocaloric effect in phase-separated metals

Ivchenko,

Igoshev

2021

Preprint

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We present a study of the magnetocaloric effect in metallic systems exhibiting first order magnetic transitions and focus on consequences of magnetic phase separation. We account for ferrimagnetic, ferromagnetic and Neel antiferromagnetic order. Based on the archetypal Hubbard model being treated within the mean-field approximation, we provide and explore its implications on the fieldinduced entropy change in metallic system with phase separation. Chosen framework allows us to properly analyze phase volumes' dependence on parameters of phase-separated (PS) system.Moreover, an account for phase separation boundaries as functions of magnetic field provides a natural splitting of the PS region, where each subregion corresponds to a different temperature dependence of entropy change: moving from one subregion to the other produces a kink, followed by a strong linear growth of entropy change. We encounter a second order magnetic transition from paramagnetic to antiferromagnetic phase in PS region that occurs for particular parameter values. Despite the fact that both phases have zero total magnetization, the transition has a strong impact on entropy change.

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“…To further increase the concentration of oxide particles to improve the material properties, it is necessary to add other rare earth elements. Er not only forms oxide particles but can also form magnetic intermetallic compounds with transition metals, which can play a magnetic refrigeration role and prevent the reactor from overheating and causing accidents [ 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. Therefore, ODS steel containing the Fe–Cr–Er system is a potential nuclear reactor cladding material.…”

Section: Introductionmentioning

confidence: 99%

Phase Equilibria of the Fe–Cr–Er Ternary System in the Range 973–1273 K

Nie

Yin

et al. 2023

Materials

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Phase relations of the Fe–Cr–Er system in the temperature range 973–1273 K were experimentally investigated using equilibrated alloys. The isothermal sections consisted of 9 single-phase regions, 16 two-phase regions, and 8 three-phase regions at 973 K and 1073 K. At 1273 K, the σ phase disappeared, and liquid appeared. All single phases had a solid solubility range that showed a downward trend with a decrease in temperature. The homogeneity range of the ErFe12−xCrx ternary compound was determined to be x = 1.8–4.5. The more accurate phase relations obtained in this work can better guide the preparation of Fe–Cr–Er alloys in actual production.

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A molecular-field study on the magnetocaloric effect in Er2Fe17

Cited by 8 publications

References 16 publications

Thermomagnetic Properties of Metal and Metal-oxide Nanoparticles

Thermomagnetic Properties of Metal and Metal-oxide Nanoparticles

Emerging mechanisms of magnetocaloric effect in phase-separated metals

Phase Equilibria of the Fe–Cr–Er Ternary System in the Range 973–1273 K

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